Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

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A comparison among different optimizations and classifiers. by Nour Eldeen Mahmoud Khalifa (19259450)

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The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

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Comparison of DeepDate and the other related work. by Nour Eldeen Mahmoud Khalifa (19259450)

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Testing accuracy and performance metrics for different DTL models for every class. by Nour Eldeen Mahmoud Khalifa (19259450)

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Image examples of date fruit dataset for every class. by Nour Eldeen Mahmoud Khalifa (19259450)

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Testing accuracy and performance metrics for different DTL models. by Nour Eldeen Mahmoud Khalifa (19259450)

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The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

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Random sample of dataset image with the testing accuracy for every image with different classes. by Nour Eldeen Mahmoud Khalifa (19259450)

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The consumed time for Resnet50 and DeepDate model for (a) FS and training and (b) testing. by Nour Eldeen Mahmoud Khalifa (19259450)

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Comparison of Resnet50 and DeepDate according to TA, P, R, and F1 score. by Nour Eldeen Mahmoud Khalifa (19259450)

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DeepDate model’s architecture design. by Nour Eldeen Mahmoud Khalifa (19259450)

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Number of images for every class in the date fruit dataset. by Nour Eldeen Mahmoud Khalifa (19259450)

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Iteration diagram of genetic algorithm. by Ke Peng (2220973)

“…At the same time, with the rapid development of information technology and Internet technology, customers’ choice of financial products is becoming more and more diversified, and customers’ dependence and loyalty to banking institutions is becoming less and less, and the problem of customer churn in commercial banks is becoming more and more prominent. …”

Genetic algorithm flow chart. by Ke Peng (2220973)

“…At the same time, with the rapid development of information technology and Internet technology, customers’ choice of financial products is becoming more and more diversified, and customers’ dependence and loyalty to banking institutions is becoming less and less, and the problem of customer churn in commercial banks is becoming more and more prominent. …”

Results of genetic algorithm tuning parameters. by Ke Peng (2220973)

“…At the same time, with the rapid development of information technology and Internet technology, customers’ choice of financial products is becoming more and more diversified, and customers’ dependence and loyalty to banking institutions is becoming less and less, and the problem of customer churn in commercial banks is becoming more and more prominent. …”

Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals by Liang yongbo (4822017)

“…<p dir="ltr">Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals</p><p dir="ltr">This dataset was collected primarily to explore the role of PPG signals with different wavelengths in the prediction of cuffless blood pressure. …”

Prediction results of XGBoost algorithm. by Huijun Chen (148680)

“…Enterprises need to use massive and effective consumption information to provide customers with high-quality customized services. Big data technology has strong mining ability. The relevant theories of computer data mining technology are summarized to optimize the marketing strategy of enterprises. …”

XGBoost algorithm training process. by Huijun Chen (148680)

“…Enterprises need to use massive and effective consumption information to provide customers with high-quality customized services. Big data technology has strong mining ability. The relevant theories of computer data mining technology are summarized to optimize the marketing strategy of enterprises. …”

Comparison of the performance of four algorithms. by Huijun Chen (148680)

“…Enterprises need to use massive and effective consumption information to provide customers with high-quality customized services. Big data technology has strong mining ability. The relevant theories of computer data mining technology are summarized to optimize the marketing strategy of enterprises. …”